code: def test_predict_zero_shot_single_label_always_predicts(
      self, loaded_pretrained_model
  ):
      sentence = Sentence("I hate it")
      loaded_pretrained_model.predict_zero_shot(
          sentence, ["happy", "sad"]
      )
      # Ensure this is an example that predicts no classes in multilabel
      assert (
          len(sentence.get_labels(loaded_pretrained_model.label_type))
          == 0
      )
      loaded_pretrained_model.predict_zero_shot(
          sentence, ["happy", "sad"], multi_label=False
      )
      assert (
          len(sentence.get_labels(loaded_pretrained_model.label_type))
          == 1
      )
      assert (
          sentence.get_labels(loaded_pretrained_model.label_type)[
              0
          ].value
          == "sad"
      )
  
file_path: flair/tests/models/test_tars_classifier.py
imports: import pytest
  from flair.data import Sentence
  from flair.datasets import ClassificationCorpus
  from flair.embeddings import TransformerDocumentEmbeddings
  from flair.models import TARSClassifier
  from tests.model_test_utils import BaseModelTest
label_desc: Use image node_id 7 for calling the TestTarsClassifier obj's underlying member method code with example usage: obj.test_predict_zero_shot_single_label_always_predicts(loaded_pretrained_model) without return types